/*
* BSD 3-Clause License
*
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* All rights reserved.
* Copyright 2021 Huawei Technologies Co., Ltd
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice, this
*   list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
*   this list of conditions and the following disclaimer in the documentation
*   and/or other materials provided with the distribution.
*
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*   contributors may be used to endorse or promote products derived from
*   this software without specific prior written permission.
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
* ============================================================================
*//*
 * Copyright (c) 2019-2020, NVIDIA CORPORATION.  All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *     * Redistributions of source code must retain the above copyright
 *       notice, this list of conditions and the following disclaimer.
 *     * Redistributions in binary form must reproduce the above copyright
 *       notice, this list of conditions and the following disclaimer in the
 *       documentation and/or other materials provided with the distribution.
 *     * Neither the name of the NVIDIA CORPORATION nor the
 *       names of its contributors may be used to endorse or promote products
 *       derived from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
 * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
 * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */

#include "postNetInstance.h"
#include "cudaUtils.h"
#include "trtUtils.h"

using namespace nvinfer1;

namespace tts
{

/******************************************************************************
 * CONSTRUCTORS / DESTRUCTOR **************************************************
 *****************************************************************************/

PostNetInstance::PostNetInstance(TRTPtr<ICudaEngine> engine) :
    TimedObject("PostNetInstance::infer()"),
    EngineDriver(std::move(engine)),
    mBinding(),
    mContext(getEngine().createExecutionContext())
{
  // do nothing
}

/******************************************************************************
 * PUBLIC METHODS *************************************************************
 *****************************************************************************/

void PostNetInstance::infer(
    cudaStream_t stream, const int batchSize, const void* const inputDevice, void* const outputDevice)
{
    startTiming();
    const ICudaEngine& engine = mContext->getEngine();

    mBinding.setBinding(engine, INPUT_NAME, inputDevice);
    mBinding.setBinding(engine, OUTPUT_NAME, outputDevice);

    if (!mContext->enqueue(batchSize, mBinding.getBindings(), stream, nullptr))
    {
        throw std::runtime_error("Failed to run post net.");
    }
    CudaUtils::sync(stream);
    stopTiming();
}

int PostNetInstance::getMelChunkSize() const
{
    return TRTUtils::getBindingDimension(getEngine(), INPUT_NAME, 2);
}

int PostNetInstance::getNumMelChannels() const
{
    return TRTUtils::getBindingDimension(getEngine(), INPUT_NAME, 1);
}

int PostNetInstance::getOutputSize() const
{
    return TRTUtils::getBindingSize(getEngine(), OUTPUT_NAME);
}

} // namespace tts
